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Year : 2016, Volume : 8, Issue : 1
First page : ( 55) Last page : ( 57)
Print ISSN : 0975-2315. Online ISSN : 2394-4471. Published online : 2016 June 1.
Article DOI : 10.5958/2394-4471.2016.00011.3

Principal component analysis for yield and its contributing traits in bread wheat (Triticum aestivum) genotypes under late sown condition

Kumar Jaydev4,*, Kumar Anuj2, Singh SK4, Singh Lokendra4, Kumar Arun1,4, Chaudhary Mohit3,4, Kumar Sarvan2,4, Singh Sanjay Kumar2,4

1Department of Genetics and Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145 (Uttarakhand), India;

2Division of Crop Improvement, Indian Institute of Wheat and Barley Research, Karnal-132 001 (Haryana), India;

3C.C.S. University of Agriculture and Technology, Hisar-125 004 (Haryana), India

4Department of Genetics and Plant Breeding, C.S. Azad University of Agriculture and Technology, Kanpur-208 002 (Uttar Pradesh), India

*Email of corresponding author: jaydev.140@rediifmail.com

Received:  19  2015; Accepted:  15  2016.

Abstract

Genetic diversity is a useful parameter that facilitates production of more efficient plant species under different conditions. Accordingly, the most common bread wheat (Triticum aestivum L. emend, Fiori & Paol) genotypes including 10 diverse parents with their F1s were grown in late sown condition and analyzed for genetic diversity and heritability. The high narrow sense heritability was observed for days to 75% flowering (45.63), days to maturity (37.55), chlorophyll fluorescence (Fv/Fm) (39.90) and protein content (31.52). The divergence analysis based on Euclidian methods indicated the presence of adequate genetic diversity in the experimental materials. The fifty five wheat genotypes were grouped into eight clusters. Cluster I had maximum (14) genotypes, while Cluster VI contained only one genotype. The maximum inter-cluster distance was observed among cluster VI and cluster VIII. The result ofthe principal components analysis revealed that six principal components (PC1 to PC6) accounted for nearly 81.75% of the total variation. The information so generated could be used to plan crosses and study the extent of heterosis.

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Key words

Bread wheat, Genetic diversity, Heritability, Principal components, Triticum aestivum.

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